Surveys and sampling methods Flashcards
Surveys are
a means of collecting primary data from large numbers of people, and are most commonly carried out using questionnaires or structured interviews
Who uses surveys?
- favoured by positivists as they produce quantitative statistical data
- also used by governments (eg census), market researchers, election pollsters
Example of using surveys - Townsend ‘Poverty in the United Kingdom’ (1979)
- produced a mass of statistical data
- used questionnaires about the causes and extent of poverty
- done by trained interviewers
Sample definition
a smaller representative group drawn from the survey population
Representative sample definition
a smaller group drawn from the survey population, of which it contains a good cross-section, such as the right proportions of people of different ethnicities, ages, social classes, or genders. The information obtained from a representative sample should provide roughly the same results as if the whole survey population had been questioned
Survey population definition
the whole group being studied, and will depend on the hypothesis of the researcher
Sampling frame definition
a list of the names of all those included in the survey population from which the sample is selected
The representativeness of a sample is affected by
- sample size
- the sampling frame (eg the electoral register, school registers etc)
- the sampling method
Sampling method definition
a technique sociologists use to select representative individuals to study from the survey population
Example of a sampling method: Random sampling
- every individual has equal chance of being selected
- commonly done by numbering the names in the sampling frame and using a random number generator
- may result in an unrepresentative sample
Example of a sampling method: Systematic sampling
- names are selected from the sampling frame at regular intervals (eg every 10th name)
- risk of being unrepresentative
Example of a sampling method: Stratified random sampling
- stratifies the sampling frame into smaller groups (eg based on ethnicity) according to their proportion of the population, then randomly selects members of this smaller group
- makes the sample more representative
Example of a sampling method: Quota sampling
- selecting people that fit into certain categories according to their proportion in the survey population as a whole
- eg choosing 10 middle class people, 10 working class and 1 upper class
- not necessarily representative - may be done by stopping people in the street, but this would exclude those at work or home
- may be researcher bias as they choose participants
Example of a sampling method: Multistage/cluster sampling
- selecting a sample in various stages, each time selecting a sample from the previous sample until the final sample is finished
- eg in a national survey of school students, you could take a sample of schools, then a sample of students within the schools selected
Example of a sampling method: Snowball sampling
- used when a sampling frame is difficult to access or doesn’t exist
- identify a couple of people who fit the desired characteristics and ask them to introduce you to more
- not random or representative - rely on volunteers recommending other volunteers so could be biased
Example of using snowball sampling - Laurie Taylor ‘In The Underworld’ (1984)
- wanted to investigate the lifestyles of criminals
- knew a convicted criminal, who agreed to put him in touch with other criminals willing to cooperate with his research
Non-representative sampling
in some cases a non-representative sample may be useful, eg if studying specifically young middle-class couples, it would be more useful to have more young middle-class couples in the sample
Pilot survey definition
a small-scale practice survey carried out before the final survey to check for any possible problems (eg unclear questions) to avoid wasting time or resources in the the final survey
Problems with the social survey
- Validity - statistical data may not present a genuine image, could fail to accurately depict motives and behaviour, use categories imposed by sociologists
- Generalisation - how far the findings can be generalised to the whole survey population
- Reliability - whether it can be repeated by a different researcher on different participants to give similar results
The stages of a survey
- state the hypothesis
- operationalise concepts
- define survey population and draw up sampling frame
- select a sample
- decide research method (questionnaire, interview etc)
- do a pilot survey and evaluate
- conduct final full-scale survey
- analyse and interpret findings
- prepare a report on findings